Optimization control method of subway traffic flow

Abstract

The invention relates to a subway traffic flow optimization control method. The method comprises the following steps that a topology structural chart of a track traffic network is generated according to planned running parameters of trains; controllability and sensitivity of a train flow are analyzed based on the topology structural chart; a multi-train non-collision running track is generated according to the planned running parameters of the trains; the running positions of the trains at some time are predicted at each sampling time based on the current running state and the historical position observation sequence of the trains, an observer from the continuous dynamic state of the trains to the discrete collision logic is established, and the continuous dynamic state is mapped into the collision state expressed through the discrete observation value; when it is possible for a system to violate the traffic control rule, the hybrid dynamic behavior of the subway traffic hybrid system is monitored, and alarm information is provided for a control center; and finally when the alarm information occurs, the robustness double-layer planning is carried out on the train running track through a self-adaptation control theory method, and a planning result is transmitted to the trains.

Description

technical field [0001] The invention relates to a subway traffic flow optimization control method, in particular to a robust strategy-based double-deck subway traffic flow optimization control method. Background technique [0002] With the increasing scale of large and medium-sized cities in our country, the urban traffic system is facing more and more pressure, and vigorously developing the rail transit system has become an important means to solve urban traffic congestion. The national "Eleventh Five-Year Plan" outline pointed out that large cities and urban agglomerations where conditions permit should take rail transit as a priority area of ​​development. my country is experiencing an unprecedented peak period of rail transit development. Some cities have shifted from line construction to network construction, and urban rail transit networks have gradually formed. In complex areas with dense rail transit network and train flow, the method of still adopting train operati...

AI Technical Summary

Problems solved by technology

In complex areas with dense rail transit network and train flow, the method of still adopting train operation plan combined with train interval allocation based on subjective experience gradually shows its backwardness. Due to the influence of various random factors, it is easy to cause congestion in traffic flow tactical management and reduce the safety of traffic system operation; (2) The train scheduling work focuses on maintaining the safe interval between individual trains, and has not yet risen to the strategic management of train flow. At the macro level; (3) The train deployment process mostly depends on the subjective experience of the front-line dispatchers, and the timing of the deployment is relatively random, lacking scientific theoretical support; (4) The deployment methods used by the dispatchers seldom take into account external interference factors The impact of the train allocation scheme is poor in robustness and availability

[0003] The discussion objects of the existing literature are mostly for long-distance railway transportation, but there is still a lack of systematic design for the scientific regulation and control scheme of the urban subway transportation system under the conditions of large flow, high density and small interval operation

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